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A surface defect detection method of steel plate based on YOLOV3

At present, the steel plate surface defect detection technology based on machine vision and convolutional neural network (CNN) has achieved good results. However, these models are mostly two-stage methods, extracting features first and then classifying them, which is slow and inaccurate. Therefore,...

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Autori principali: G. Z. Ouyang, W. Y. Zhang
Natura: Artigo
Lingua:Inglês
Pubblicazione: Croatian Society for Materials Protection 2023-01-01
Serie:Metalurgija
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Accesso online:https://hrcak.srce.hr/file/407956
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